//细化操作
void Thinning(double *src,double *dst,int width,int height){
double *temp=(double *)malloc(sizeof(double)*width*height);
double *temp_last=(double *)malloc(sizeof(double)*width*height);
double *temp_com=(double *)malloc(sizeof(double)*width*height);
matrixCopy(src, temp, width, height);
while(!matrixisEqu(temp, temp_com,width,height)){
matrixCopy(temp, temp_com, width, height);
for(int i=0;i<8;i++){
matrixCopy(temp, temp_last, width, height);
double *se1=CreateThinningSE(i);
double *se2=CreateThinningUSE(i);
HitorMiss(temp, width, height, se1, 3, 3, se2, 3, 3, temp, NULL, NULL);
matrixSub(temp_last, temp, temp, width, height);
free(se1);
free(se2);
}
}
matrixCopy(temp, dst, width, height);
free(temp);
free(temp_com);
free(temp_last);
}
//二值图像，边缘检测
void BinaryEdge(double *src,int width,int height,double* dst){
double *temp=(double *)malloc(sizeof(double)*width*height);
double se[9]={255.,255.,255.,255.,255.,255.,255.,255.,255.};
Erode(src, width, height, temp, width, height,se ,3, 3, NULL);
matrixSub(src, temp, dst, width, height);
free(temp);
}
//灰度梯度形态学提取
void Gard_Gray(double *src,double *dst,int width,int height,double *se,int sewidth,int seheight,Position *center){
double *temp_dilate=(double *)malloc(sizeof(double)*width*height);
double *temp_erode=(double *)malloc(sizeof(double)*width*height);
Dilate_Gray(src, temp_dilate,width,height,se,sewidth,seheight, center);
Erode_Gray(src, temp_erode,width,height,se,sewidth,seheight, center);
matrixSub(temp_dilate,temp_erode,dst,width,height);
free(temp_dilate);
free(temp_erode);
}
//骨架
void FrameWork(double *src,double *dst,int width,int height,double *se,int se_width,int se_height){
double *temp_dst=(double*)malloc(sizeof(double)*width*height);
Zero(temp_dst, width, height);
double *temp=(double *)malloc(sizeof(double)*width*height);
double *temp_open=(double *)malloc(sizeof(double)*width*height);
matrixCopy(src, temp, width, height);
while(!matrixisEmpty(temp,width,height)){
Erode(temp, width, height, temp, width, height, se, se_width, se_height, NULL);
matrixCopy(temp, temp_open, width, height);
Open(temp_open, width, height, temp_open, se, se_width, se_height, NULL);
matrixSub(temp, temp_open,temp_open, width, height);
Or(temp_open, temp_dst, temp_dst, width, height);
}
matrixCopy(temp_dst, dst, width, height);
free(temp);
free(temp_open);
free(temp_dst);
}
////////////////////////////////////////////////////////////////////////////////////
////////////////////////////////////////////////////////////////////////////////////
//生成DoG模板
//使用两个高斯模板做差
void getDoGMask(double *mask,int width,int height,double delta){
double *mask1=(double *)malloc(sizeof(double)*width*height);
double *mask2=(double *)malloc(sizeof(double)*width*height);
GaussianMask(mask1, width, height, delta);
GaussianMask(mask2, width, height, delta*1.6);
matrixMultreal(mask1, mask1, delta*2*M_PI, width, height);
matrixMultreal(mask2, mask2, delta*3.2*M_PI, width, height);
matrixSub( mask2,mask1, mask1, width, height);
double sum=0.0;
for(int i=0;i<width*height;i++){
sum+=mask1[i];
}
double di=sum/(double)(width*height);
for(int i=0;i<width*height;i++){
mask1[i]-=di;
}
matrixCopy(mask1, mask, width, height);
//matrixMultreal(mask, mask, 10, width, height);
free(mask1);
free(mask2);
}
void main(void)
{
char menuChoice;
header();
do {
matrixMaker(1);
matrixMaker(2);
menuChoice = menu();
do {
switch (menuChoice)
{
case 'A': //addition
matrixAdder();
break;
case 'S'://subtraction
matrixSub();
break;
case 'M'://matrix multiplication
matrixMultiply();
break;
case 'E'://Element by element multiplication
matrixElemMultiply();
break;
case 'N': // move to next case or exit(?)
//what do we put here? Instructions unclear.
break;
}
display(menuChoice);
fileWriter(menuChoice);
// option loop operation code
printf("\n\nWould you like to run a different operation with the same sets of data? (Y/N) ");
scanf(" %c", &loopOperations);
loopOperations = toupper(loopOperations);
while(loopOperations != 'Y' && loopOperations != 'N') {
printf("Input must be either Y or N!\n");
printf("\n\nWould you like to run a different operation with the same sets of data? (Y/N) ");
scanf(" %c", &loopOperations);
loopOperations = toupper(loopOperations);
}
} while(loopOperations == 'Y');
// option loop code with new data
printf("\n\nWould you like to use new files for a different data set? (Y/N) ");
scanf(" %c", &loopProgram);
loopProgram = toupper(loopProgram);
while(loopProgram != 'Y' && loopProgram != 'N') {
printf("Input must be either Y or N!\n");
printf("\n\nWould you like to use new files for a different data set? (Y/N) ");
scanf(" %c", &loopProgram);
loopProgram = toupper(loopProgram);
}
} while(loopProgram == 'Y');
}
void strassen(Matrices *m){
int seuil = 0;
int *a11,*a12,*a21,*a22;
int *b11,*b12,*b21,*b22;
a11 = malloc((m->size*m->size*sizeof(int))/4);
a12 = malloc((m->size*m->size*sizeof(int))/4);
a21 = malloc((m->size*m->size*sizeof(int))/4);
a22 = malloc((m->size*m->size*sizeof(int))/4);
b11 = malloc((m->size*m->size*sizeof(int))/4);
b12 = malloc((m->size*m->size*sizeof(int))/4);
b21 = malloc((m->size*m->size*sizeof(int))/4);
b22 = malloc((m->size*m->size*sizeof(int))/4);
int index1=0;
int index2=0;
int index3=0;
int index4=0;
int i;
for(i = 0 ; i < m->size*m->size ; i++){
if(i%m->size < m->size/2 ){
if((i/m->size) < m->size/2){
a11[index1]=m->a[i];
b11[index1++]=m->b[i];
}else{
a21[index2]=m->a[i];
b21[index2++]=m->b[i];
}
}else{
if((i/m->size) < m->size/2){
a12[index3]=m->a[i];
b12[index3++]=m->b[i];
}else{
a22[index4]=m->a[i];
b22[index4++]=m->b[i];
}
}
}
Matrices temp;
temp.size = m->size/2;
int* p1;
p1 = malloc(m->size*sizeof(int));
temp.result = p1;
matrixSum(a11,a22,temp.size,temp.a);
matrixSum(b11,b22,temp.size,temp.b);
strassen(&temp);
int* p2;
p2 = malloc(m->size*sizeof(int));
temp.result = p2;
matrixSum(a21,a22,temp.size,temp.a);
temp.b = b11;
strassen(&temp);
int* p3;
p3 = malloc(m->size*sizeof(int));
temp.result = p3;
matrixSub(b12,b22,temp.size,temp.b);
temp.a = a11;
strassen(&temp);
}
//重建顶帽操作
void Rebuild_Tophat(double *src,double *dst,double *ground,int width,int height,double *dilateSE,int dsewidth,int dseheight,double *erodeSE,int esewidth,int eseheight,int eroden){
Rebuild_Open(src,dst,ground,width,height,erodeSE,esewidth,eseheight,dilateSE,dsewidth,dseheight,eroden);
matrixSub(src,dst,dst,width,height);
}
//底帽操作
void BottomHat(double *src,double *dst,int width,int height,double *se,int sewidth,int seheight,Position *center){
double *temp=(double *)malloc(sizeof(double)*width*height);
Close_Gray(src, temp,width,height,se,sewidth,seheight,center);
matrixSub(temp,src,dst,width,height);
free(temp);
}
// QR Factorization
void QR(double* A, int m, int n, double* Q, double* R)
{
// Not a very efficient approach, but simple and effective
// Written by Nico van Duijn, 9/13/2015
// Source of algorithm (adjusted by me):
// http://www.keithlantz.net/2012/05/qr-decomposition-using-householder-transformations/
// A is the (m*n) matrix to be factorized A=Q*R
double mag, alpha;
double u[m], v[m], vtrans[m];
double P[m * m], I[m * m], vvtrans[m * m], Rbackup[m * m], Qbackup[m * m];
matrixCopy(A, m, m, R); // Initialize R to A
// Initialize Q, P, I to Identity
for (int i = 0; i < m * m; i++)Q[i] = 0;
for (int i = 0; i < m; i++)Q[i * n + i] = 1;
for (int i = 0; i < m * m; i++)P[i] = 0;
for (int i = 0; i < m; i++)P[i * n + i] = 1;
for (int i = 0; i < m * m; i++)I[i] = 0;
for (int i = 0; i < m; i++)I[i * n + i] = 1;
for (int i = 0; i < n; i++) //loop through all columns
{
for (int q = 0; q < m; q++)u[q] = 0; // set u and v to zero
for (int q = 0; q < m; q++)v[q] = 0;
mag = 0.0; //set mag to zero
for (int j = i; j < m; j++)
{
u[j] = R[j * n + i];
mag += u[j] * u[j];
}
mag = sqrt(mag);
alpha = u[i] < 0 ? mag : -mag;
mag = 0.0;
for (int j = i; j < m; j++)
{
v[j] = j == i ? u[j] + alpha : u[j];
mag += v[j] * v[j];
}
mag = sqrt(mag);
if (mag < 0.0000000001) continue;
for (int j = i; j < m; j++) v[j] /= mag;
// P = I - (v * v.transpose()) * 2.0;
matrixTranspose(v, m, 1, vtrans);
matrixMult(v, vtrans, m, 1, m, vvtrans);
matrixScale(vvtrans, m, m, 2.0);
matrixSub(I, vvtrans, m, m, P);
// R = P * R;
matrixMult(P, R, m, m, m, Rbackup);
matrixCopy(Rbackup, m, m, R);
//Q = Q * P;
matrixMult(Q, P, m, m, m, Qbackup);
matrixCopy(Qbackup, m, m, Q);
}
}